Software Engineer

BlueCrest Capital Management
London
2 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer

Software Engineer in AI

Software Engineer (we have office locations in Cambridge, Leeds & London)

Software Engineering Manager | £110k – Java, Vue.js & AWS

Job Title:Software Engineer

Location:London
Department:Technology

Department Overview:

The data technology team is responsible for building out the business’ big data platforms on which all portfolio managers run analysis when developing trading strategies. This team sits within the front office technology and quant research department, whose sole function is to build in-house centralized front office pricing, risk, and data analysis tools used by all portfolio managers and desk analysts.

Role Overview:

As Blue Crest continues to expand its trading presence globally, there is a desire to build out more sophisticated quantitative and data solutions that enable desk analysts to work more efficiently across a wider selection of asset classes. The quantity and quality of data become increasingly important, so we look to expand the data team, seeking a developer with strong programming and database skills. In addition to performing technical enhancements to improve the platform, all projects are performed in conjunction with the front office, making data quality understanding essential.

This is an exciting opportunity to work for one of the strongest performing funds in the world, supporting and building out solutions in collaboration with trading. The successful candidate will gain experience in all financial markets and work with some of the best traders, technologists, and quant researchers in the world. The role will require strong database, mathematical, and programming skills, with APIs being written in C#. This is an excellent opportunity for a delivery-focused individual with solid analytical skills and a passion for technology and financial markets to work directly on trading desk enhancements without any bureaucracy or politics.

The data team sits within the front office technology and quant research department, so successful candidates will have the opportunity to rotate around the department and try different aspects of front office quantitative development. Additionally, they can build relationships with trading that often lead to desk-based opportunities.

Experience Required:

  • Experience working in C# or another object-oriented language
  • Exposure to SQL

About You:

In this role, you must be self-motivated and able to learn quickly. This is a highly technical role, requiring the ability to understand object-oriented programming and how to build reusable functions within the core data and quant library frameworks. The candidate should be comfortable with the full software development lifecycle and demonstrate adherence to best practices in all areas of their work.

Delivery is key in this role, as is the ability to balance rapid BAU change while progressing with longer-term strategic development.

BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation, or nationality.

J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.